April 2016
Intermediate to advanced
170 pages
3h 48m
English
Content preview from Distributed Computing with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 2. Asynchronous Programming
In this chapter, we are finally going to write some code! The code in this chapter and all the chapters that follow is written for Python 3.5 (the current release at the time of writing). When modules, syntaxes, or language constructs are not available in earlier versions of Python (for example, Python 2.7), these will be pointed out in this chapter. In general, however, the code presented here should work on Python 2.x with some minor modifications.
Let's go back to some of the ideas presented in the previous chapter. We know that we can structure our algorithms and programs so that they can run on a local machine or on one or more computers across a network. Even when our code runs on a single machine, as we ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.